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Publication Detail
Natural image character recognition using oriented basic image features
  • Publication Type:
    Conference
  • Authors:
    Newell AJ, Griffin LD
  • Publication date:
    01/12/2011
  • Pagination:
    191, 196
  • Published proceedings:
    Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011
  • ISBN-13:
    9780769545882
  • Status:
    Published
Abstract
Whilst effective methods exist for character recognition in certain contexts, such as characters taken from printed or handwritten documents, these methods have not performed well when tested with characters taken from natural images. In this work we introduce oriented Basic Image Features (oBIFs), a system based upon local symmetry and orientation, and demonstrate how they can be used within a mutliscale system for natural image character recognition. The best performing system outperforms previous methods by 8.1% and 1.2% when tested with the two most common datasets. © 2011 IEEE.
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